Research demonstrates strong correlation of heart rate responses during physical activity using wearable ECG, suggesting effective noninvasive monitoring.
Recent advances in wearable sensing technology have enabled simultaneous measurement of heart activity and body movement using devices equipped with both ECG recording and 3-axis accelerometers. This study examined whether transient heart rate (HR) responses to physical activity can be accurately characterized under free-living conditions. Continuous RR interval data and activity levels derived from accelerometer signals were analyzed using a multivariate autoregressive (MVAR) model. Results from 12 male participants showed a strong correlation between predicted and observed HR responses (r2 = 0.93, r = 0.96, p < 0.001). These findings indicate that up to 93% of transient HR dynamics associated with daily physical activity can be explained by the model. While these results are preliminary due to the limited sample size, the approach provides a promising framework for the noninvasive, continuous monitoring of cardiovascular responses in everyday health and wellness applications.
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Yuda et al. (2025) studied this question.
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